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classifier.dev

Sort up to 1,000 texts into your own labels with a calibrated confidence per answer.

Connector by classifier.devOfficial · Domain verified by the MCP Registry

IndexedMITRemote (HTTP)★ 429
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Install

Works with Claude Code, VS Code, Cursor, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install connector/classifier-dev-classifier

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Remote endpoint

  • https://classifier.dev/mcp Remote (HTTP)

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About

Sort up to 1,000 texts into your own labels with a calibrated confidence per answer. No API key.

Use cases: model-inference, data-analysis

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools
0 read · 5 write · 0 delete
Secrets
None asked for
Install scripts
Nothing to install (hosted)
Runs as
Hosted (remote endpoint)

Tools by what they do 5

From the running server's own tool list (tools/list) on Oct 25, 2026.

Write 5 · Create, change, send or run things.

  • classify_dimensions
  • classify_multi_label
  • classify_texts
  • count_labels
  • review_uncertain

Network hosts it talks to 1

  • classifier.dev · found in remote endpoint, install command

Tools (5)

As the server listed them on Oct 25, 2026. Descriptions are the server’s own words; hidden characters are shown as [U+…].

  • classify_dimensionsClassify several dimensions per text

    Classify each text by several named dimensions, such as team, urgency and kind, in one request. Returns a label, confidence, scores and model for each field. At most 1,000 item × dimension decisions; every field counts toward the quota. Use per-dimension instructions to define ambiguous categories.

  • classify_multi_labelTag texts with every label that applies

    Like classify_texts, but each text gets every label that applies (possibly none), with an independent 0-1 score per label. Use this for tagging — topics of an article, components touched by a ticket — where one answer is not enough. Set max_labels to cap how many come back per text. Labels scoring >= 0.7 are kept.

  • classify_textsClassify texts into one label each

    Sort up to 1,000 texts into exactly one of your own labels each, with confidence per answer. Use this when you have many items to triage, route, filter or bucket and do not want to read them all: search results before opening them, tickets, log lines, changed files, feedback. Do not use it for fewer than about five items you can already see — just decide. For default Jev, confidence is calibrated (answers >= 0.9 are right ~82-92% of the time; < 0.5 about 30-60%); these measurements do not apply to experimental Laya. so act on the sure ones and look at the rest yourself, or pass tier "smart" to…

  • count_labelsCount how many texts fall under each label

    Classify up to 1,000 texts and return only a histogram: how many landed on each label, and how many the model was unsure about. Use this when you want the shape of a corpus — what share of feedback is bugs vs praise, how many search results are relevant — without pulling a thousand individual answers into context. Use classify_texts when you need the answer per item.

  • review_uncertainFind the texts the classifier was unsure about

    Classify up to 1,000 texts and return only the ones whose confidence fell under a threshold (default 0.7), each with its two most likely labels. Use this after a bulk classification to decide which items deserve your own attention: the confident answers can be trusted, these are the ones to read. Returns the index of each item so you can map back to your list.

Signals

Stars
429
Forks
34
Open issues
2
Last commit
Oct 19, 2026 (11 days ago)
Last release
Sep 19, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

Registry name
dev.classifier/classifier
Version
1.0.0
Auth
Auth not stated
License
MIT
First seen
Oct 24, 2026
Last checked
Oct 25, 2026

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Cite this page

classifier.dev MCP server. Agent Mart. https://agentmart.dev/connectors/classifier-dev-classifier (last updated 2026-10-25)